Most developers know that social media streams produce a huge volume of data and can be used to discern trending topics and brand sentiment. While that may seem like a niche discipline, social media in fact comprises scenarios ranging from security and threat detection, to fraud, supply chain and human capital management. Technology that works with social media handles its semi-structured nature much better than conventional relational databases do, and can scale to handle the big data workloads.

How is working with social media data relevant and accessible in the context of application development? How can working with social media data be made valuable as well as both economically and technically feasible? Find out by joining Gigaom Research and our sponsor DataSift for “Social Media Data in Application Development,” a free analyst webinar on Thursday, December 4th, 2014 at 10 a.m. PT.

What Will Be Discussed:

What scenarios exist for social media data, beyond marketing and brand analytics?

How can the sheer volume of social media data be managed and how can the data be queried?

How can application developers embed social media intelligence into their applications?

What’s the best way to integrate social media data with corporate master data and transactional data?

Are there abstraction layers for social media data, so that developers needn’t delve into each social network API?